Guangyuan Jiang

Yuanpei College, Peking University

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I am Guangyuan Jiang (姜广源), a final-year undergrad (‘25) majoring in Artificial Intelligence at Yuanpei College, Peking University.

I was a visiting student at MIT Computational Cognitive Science Lab and Computational Psycholinguistics Lab in the past year. I’m fortunate to be advised by Prof. Josh Tenenbaum and Prof. Roger Levy.

At Peking University, I am a member of the Tong Class (an honorary pilot class in AI). I’m also affiliated with the PKU Cognitive Reasoning Lab led by Prof. Yixin Zhu.

My research interests span topics such as abstraction, culture, concepts, and language. My primary goal is to develop machines that can learn and reason in ways similar to humans, while also using these machines to reverse-engineer human language and thought.

Selected Publications

  1. CogSci 2024 Talk
    Finding structure in logographic writing with library learning
    (CogSci Sayan Gul Award for Best Undergrad Student Paper)
    In CogSci, 2024 (Talk)
  2. ICML 2023
    MEWL: Few-shot multimodal word learning with referential uncertainty
    In ICML, 2023
  3. NeurIPS 2023 Spotlight
    Evaluating and Inducing Personality in Pre-trained Language Models
    In NeurIPS, 2023 (Spotlight)
  4. NeurIPS 2023 D&B
    Interactive Visual Reasoning under Uncertainty
    Manjie Xu*, Guangyuan Jiang*, Wei Liang, Chi Zhang, and Yixin Zhu
    In NeurIPS Datasets and Benchmarks, 2023